artifact_path: outputs/mlflow-model
flavors:
  python_function:
    env:
      conda: conda.yaml
      virtualenv: python_env.yaml
    loader_module: mlflow.sklearn
    model_path: model.pkl
    predict_fn: predict
    python_version: 3.8.18
  sklearn:
    code: null
    pickled_model: model.pkl
    serialization_format: pickle
    sklearn_version: 1.0.2
metadata:
  azureml.base_image: mcr.microsoft.com/azureml/curated/azureml-automl:156
  azureml.engine: automl
mlflow_version: 2.9.2
model_size_bytes: 328081
model_uuid: 8bf40d2252604db19b915352dc348686
run_id: ivory_coat_t5c6mdq773_2
signature:
  inputs: '[{"type": "string", "name": "Column2"}, {"type": "double", "name": "age"},
    {"type": "double", "name": "blood_pressure"}, {"type": "double", "name": "specific_gravity"},
    {"type": "double", "name": "albumin"}, {"type": "double", "name": "sugar"}, {"type":
    "long", "name": "red_blood_cells"}, {"type": "long", "name": "pus_cell"}, {"type":
    "long", "name": "pus_cell_clumps"}, {"type": "long", "name": "bacteria"}, {"type":
    "double", "name": "blood_glucose_random"}, {"type": "double", "name": "blood_urea"},
    {"type": "double", "name": "serum_creatinine"}, {"type": "double", "name": "sodium"},
    {"type": "double", "name": "potassium"}, {"type": "double", "name": "haemoglobin"},
    {"type": "double", "name": "packed_cell_volume"}, {"type": "double", "name": "white_blood_cell_count"},
    {"type": "double", "name": "red_blood_cell_count"}, {"type": "long", "name": "hypertension"},
    {"type": "long", "name": "diabetes_mellitus"}, {"type": "long", "name": "coronary_artery_disease"},
    {"type": "long", "name": "appetite"}, {"type": "long", "name": "peda_edema"},
    {"type": "long", "name": "aanemia"}]'
  outputs: '[{"type": "tensor", "tensor-spec": {"dtype": "int64", "shape": [-1]}}]'
  params: null
utc_time_created: '2024-01-28 01:55:43.341930'